63 citations · 145 across the 16 of their papers we have counts for
19 papers
Analyzing the Effects of Two-Stage Peer Evaluation
Roy Fairstein, Harper Lyon, Oshri Damty +3
Peer-evaluation and selection systems are used when sets of agents evaluate each other in order to select the best among them. These are commonly used in real-world settings, i…
Next Token Knowledge Tracing: Exploiting Pretrained LLM Representations to Decode Student Behaviour
Max Norris, Kobi Gal, Sahan Bulathwela
Modelling student knowledge is a key challenge when leveraging AI in education, with major implications for personalised learning. The Knowledge Tracing (KT) task aims to predict h…
Detecting Suicide Risk in Online Counseling Services: A Study in a Low-Resource Language
Amir Bialer, Daniel Izmaylov, Avi Segal +3
With the increased awareness of situations of mental crisis and their societal impact, online services providing emergency support are becoming commonplace in many countries. Compu…
Welfare vs. Representation in Participatory Budgeting
Roy Fairstein, Reshef Meir, Dan Vilenchik +1
Participatory budgeting (PB) is a democratic process for allocating funds to projects based on the votes of members of the community. Different rules have been used to aggregate pa…
MultiplexNet: Towards Fully Satisfied Logical Constraints in Neural Networks
Nicholas Hoernle, Rafael Michael Karampatsis, Vaishak Belle +1
We propose a novel way to incorporate expert knowledge into the training of deep neural networks. Many approaches encode domain constraints directly into the network architecture,…
Revisiting Citizen Science Through the Lens of Hybrid Intelligence
Janet Rafner, Miroslav Gajdacz, Gitte Kragh +13
Artificial Intelligence (AI) can augment and sometimes even replace human cognition. Inspired by efforts to value human agency alongside productivity, we discuss the benefits of so…
One Size Does Not Fit All: A Study of Badge Behavior in Stack Overflow
Stav Yanovsky, Nicholas Hoernle, Omer Lev +1
Badges are endemic to online interaction sites, from Question and Answer (Q&A) websites to ride sharing, as systems for rewarding participants for their contributions. This paper s…
In the Eye of the Beholder? Detecting Creativity in Visual Programming Environments
Anastasia Kovalkov, Avi Segal, Kobi Gal
Visual programming environments are increasingly part of the curriculum in schools. Their potential for promoting creative thinking of students is an important factor in their adop…
Personalization in Human-AI Teams: Improving the Compatibility-Accuracy Tradeoff
Jonathan Martinez, Kobi Gal, Ece Kamar +1
AI systems that model and interact with users can update their models over time to reflect new information and changes in the environment. Although these updates may improve the ov…
Applying Transparency in Artificial Intelligence based Personalization Systems
Laura Schelenz, Avi Segal, Kobi Gal
Artificial Intelligence based systems increasingly use personalization to provide users with relevant content, products, and solutions. Personalization is intended to support users…
The Phantom Steering Effect in Q&A Websites
Nicholas Hoernle, Gregory Kehne, Ariel D. Procaccia +1
Badges are commonly used in online platforms as incentives for promoting contributions. It is widely accepted that badges "steer" people's behavior toward increasing their rate of…
Modeling Peoples Voting Behavior with Poll Information
Roy Fairstein, Adam Lauz, Kobi Gal +1
Despite the prevalence of voting systems in the real world there is no consensus among researchers of how people vote strategically, even in simple voting settings. This paper addr…
Interpretable Models for Understanding Immersive Simulations
Nicholas Hoernle, Kobi Gal, Barbara Grosz +3
This paper describes methods for comparative evaluation of the interpretability of models of high dimensional time series data inferred by unsupervised machine learning algorithms.…
A difficulty ranking approach to personalization in E-learning
Avi Segal, Kobi Gal, Guy Shani +1
The prevalence of e-learning systems and on-line courses has made educational material widely accessible to students of varying abilities and backgrounds. There is thus a growing n…
Predicting Strategic Voting Behavior with Poll Information
Roy Fairstein, Adam Lauz, Kobi Gal +1
The question of how people vote strategically under uncertainty has attracted much attention in several disciplines. Theoretical decision models have been proposed which vary in th…
Session Analysis using Plan Recognition
Reuth Mirsky, Ya'akov Gal, David Tolpin
This paper presents preliminary results of our work with a major financial company, where we try to use methods of plan recognition in order to investigate the interactions of a co…
Sequential Plan Recognition
Reuth Mirsky, Roni Stern, Ya'akov +2
Plan recognition algorithms infer agents' plans from their observed actions. Due to imperfect knowledge about the agent's behavior and the environment, it is often the case that th…
SLIM: Semi-Lazy Inference Mechanism for Plan Recognition
Retuh Mirsky, Ya'akov, Gal
Plan Recognition algorithms require to recognize a complete hierarchy explaining the agent's actions and goals. While the output of such algorithms is informative to the recognizer…
Networks of Influence Diagrams: A Formalism for Representing Agents' Beliefs and Decision-Making Processes
Yaakov Gal, Avi Pfeffer
This paper presents Networks of Influence Diagrams (NID), a compact, natural and highly expressive language for reasoning about agents beliefs and decision-making processes. NIDs a…